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This book provides detailed descriptions of big data solutions for
activity detection and forecasting of very large numbers of moving
entities spread across large geographical areas. It presents
state-of-the-art methods for processing, managing, detecting and
predicting trajectories and important events related to moving
entities, together with advanced visual analytics methods, over
multiple heterogeneous, voluminous, fluctuating and noisy data
streams from moving entities, correlating them with data from
archived data sources expressing e.g. entities' characteristics,
geographical information, mobility patterns, mobility regulations
and intentional data. The book is divided into six parts: Part I
discusses the motivation and background of mobility forecasting
supported by trajectory-oriented analytics, and includes specific
problems and challenges in the aviation (air-traffic management)
and the maritime domains. Part II focuses on big data quality
assessment and processing, and presents novel technologies suitable
for mobility analytics components. Next, Part III describes
solutions toward processing and managing big spatio-temporal data,
particularly enriching data streams and integrating streamed and
archival data to provide coherent views of mobility, and storing of
integrated mobility data in large distributed knowledge graphs for
efficient query-answering. Part IV focuses on mobility analytics
methods exploiting (online) processed, synopsized and enriched data
streams as well as (offline) integrated, archived mobility data,
and highlights future location and trajectory prediction methods,
distinguishing between short-term and more challenging long-term
predictions. Part V examines how methods addressing data
management, data processing and mobility analytics are integrated
in big data architectures with distinctive characteristics compared
to other known big data paradigmatic architectures. Lastly, Part VI
covers important ethical issues that research on mobility analytics
should address. Providing novel approaches and methodologies
related to mobility detection and forecasting needs based on big
data exploration, processing, storage, and analysis, this book will
appeal to computer scientists and stakeholders in various
application domains.
The 8th edition of the International Symposium on Web and Wireless
Geograp- cal Information Systems (W2GIS 2008) was held in December
2008, in the vibrant city of Shanghai, China. This annual symposium
aims at providing a forum for discussing advances on recent
developments and research results in the ?eld of Web and wireless
geographical information systems. Promoted from workshop to s-
posium in 2005, W2GIS now represents a prestigious event within
this dynamic research community. These proceedings contain the
papers selected for presen- tion at this international event. For
the 2008 edition, we received 38 submissions from 16 countries. All
subm- ted papers were related to topics of interest to the
symposium. Each paper received three reviews. Based on these
reviews, 14 papers were selected for presentation and inclusion in
the proceedings. The accepted papers are all of excellent quality
and cover topics that range from mobile networks and location-based
services, to contextual representation and mapping, to geospatial
Web techniques, to object tracking in Web and mobile environments.
We wish to thank all authors that contributed to this symposium for
the high quality of their papers and presentations. Our sincere
thanks go to Springer's LNCS team. We would also like to
acknowledge and thank the Program C- mittee members for the quality
and timeliness of their reviews. Finally, many thanks to the
Steering Committee members for providing continuous support and
advice.
This book provides detailed descriptions of big data solutions for
activity detection and forecasting of very large numbers of moving
entities spread across large geographical areas. It presents
state-of-the-art methods for processing, managing, detecting and
predicting trajectories and important events related to moving
entities, together with advanced visual analytics methods, over
multiple heterogeneous, voluminous, fluctuating and noisy data
streams from moving entities, correlating them with data from
archived data sources expressing e.g. entities' characteristics,
geographical information, mobility patterns, mobility regulations
and intentional data. The book is divided into six parts: Part I
discusses the motivation and background of mobility forecasting
supported by trajectory-oriented analytics, and includes specific
problems and challenges in the aviation (air-traffic management)
and the maritime domains. Part II focuses on big data quality
assessment and processing, and presents novel technologies suitable
for mobility analytics components. Next, Part III describes
solutions toward processing and managing big spatio-temporal data,
particularly enriching data streams and integrating streamed and
archival data to provide coherent views of mobility, and storing of
integrated mobility data in large distributed knowledge graphs for
efficient query-answering. Part IV focuses on mobility analytics
methods exploiting (online) processed, synopsized and enriched data
streams as well as (offline) integrated, archived mobility data,
and highlights future location and trajectory prediction methods,
distinguishing between short-term and more challenging long-term
predictions. Part V examines how methods addressing data
management, data processing and mobility analytics are integrated
in big data architectures with distinctive characteristics compared
to other known big data paradigmatic architectures. Lastly, Part VI
covers important ethical issues that research on mobility analytics
should address. Providing novel approaches and methodologies
related to mobility detection and forecasting needs based on big
data exploration, processing, storage, and analysis, this book will
appeal to computer scientists and stakeholders in various
application domains.
A semi-documentary based on the lives of two friends living on the
remote Shetland island of Foula. It shows their struggles with the
harshness of isolation and the everyday hurdles of love and
survival. In 1978 director Michael Powell added a new (colour)
introduction and epilogue to the film which was re-titled `Return
to the Edge of the World'.
The 78 Division - known from its divisional emblem as 'the
Battleaxe Division' - was formed in Scotland in 1942 with the aim
of landing in North Africa later that year. Within six months, the
disparate elements had been welded together and were on their way
to take part in 'Operation Torch' - the Anglo-American landings in
Algeria. From there, the division fought its way east into the
hotly defended defiles and deserts of Tunisia - where their
formidable opponents were the battle-hardened Afrika Korps. The
division held the line against German counter attacks through the
long and bitter winter of 1942/43 before liberating Tunis and
preparing for landfall on the European mainland by way of Sicily.
The hard-fought slogging match of the Italian campaign followed,
with the 78th taking part in the battle of Cassino, the liberation
of Rome and the final push through the mountains of north-east
Italy into Austria. Based on divisional war diaries, this is an
exceptional history of a gruelling series of campaigns fought by a
unit that learned on the job.
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